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Thickness and skew labeler for MNIST handwritten digit dataset

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Annotated MNIST

Semi-automatic labeler for MNIST handwritten digit dataset. This module attaches additional tags for 'skew' and 'thickness'.

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Prerequisites

This code requires Tensorflow and OpenCV. The MNIST dataset is stored in the 'MNIST_data' directory. The files will be automatically downloaded if the dataset does not exist.

Usage

Example usages are shown in jupyter notebook.

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Thickness and skew labeler for MNIST handwritten digit dataset

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  • Jupyter Notebook 94.9%
  • Python 5.1%